Waist Circumference-to-Height Ratio Detected in a Convenient Sample of Young Slovak People with Increased Cardio-Metabolic Risk

Hertelyová, Zdenka; Vašková, Janka; Vaško, Ladislav

doi:10.21101/cejph.a4007

Cited by 6 publications

(10 citation statements)

References 37 publications

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“…In both studies, LDLcholesterol analysis confirmed almost equal values while comparing males and females. In literature, LDLCH arithmetic mean was 2.80 mmol/l for males vs 2.77 mmol/l for females (21) and our survey confirmed level of LDLCH 2.67 mmol/l for males versus 2.85 mmol/l for females. When comparing the values of TCH and LDLCH with the established standards, we can evaluate these standards as very strong -28.0 % of student confirmed higher TCH levels than 4.5 mmol/l and 16.57% of student surpassed the LDLCH limit of more than 2.5 mmol/l.…”

Section: Discussionsupporting

confidence: 81%

“…Their paper confirmed the average TCH level for men -4.4 mmol/l; in our study it was 4.31 mmol/l. For the group of females, the cholesterol levels in literature study (21) were 4.64 mmol/l, while our research indicates an average of 4.52 mmol/l. The same authors (21) have confirmed significantly higher TCH levels for females compared to males, which is in agreement with our out puts.…”

Section: Discussioncontrasting

confidence: 68%

“…Therefore, a longitudinal design study should be used to confirm time trends in clinical, anthropological parameters and lifestyle factors during the university educations in the future. Also, a larger cohort of medical students from several universities (21,22) would be needed to disseminate results as outputs from a representative national study.…”

Section: Limitations Of the Studymentioning

confidence: 99%

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Prevalence of lifestyle and cardiovascular risk factors in a group of medical students

Rimárová

Dorko

Jana

et al. 2018

Cent Eur J Public Health

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The aim of the cross-sectional study was to evaluate cardiovascular risk factors in the group of medical students with gender, overweight and obesity categorisation. Methods: Cross-sectional study included 364 medical students, 207 females and 157 males. We investigated anthropometric parameters, BMI, body fat percentage, WHR (waist-hip ratio), TCH (total cholesterol) and LDL-CH (LDL-cholesterol), SBP and DBP (systolic and diastolic blood pressure). The participants also completed questionnaires with socio-demographic characteristic, including smoking, unhealthy eating, self-perceived health, and physical activity status. Statistical analysis used t-test differences in arithmetic means and OR calculation with 95% CI. Results: Prevalence of increased blood pressure (> SBP/DBP 120/80 mmHg) among participants was 10.99% (SBP) and 9.07% (DBP). The results confirmed risk of "overweight + obesity" in 15.38% (using BMI evaluation) versus 18.54% cases (using body fat percentage evaluation). The results of the study confirmed statistically higher risk for males compared to females in the following parameters: SBP, DBP, BMI, body fat percentage, self-perceived health, unhealthy eating and body weight watching. "Overweight and obesity" group (BMI evaluation) confirmed all factors on statistically significant level a risky group: SBP, DBP, body fat percentage, TCH, self-perceived health, smoking, stress at university, and body weight watching. The outputs confirmed, on the other hand, low amount of clinical obesity (0.8%), clinical hypertension (BP > 140/90) 1.1%, and clinically higher cholesterol level (TCH > 5.2 mmol/l) in 8.7% participants. Conclusions: We confirmed higher prevalence or cardiovascular risk factors among males. Also, group of "overweight and obese" students had higher frequency of cardiovascular risk factors. Border limits for risk evaluation were strong, so on clinical level we can evaluate the group of medical students as healthy. In the group of young medical students, we confirmed lower frequency of risk factors compared to the Slovak population average.

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Section: Discussionsupporting

confidence: 81%

Section: Discussioncontrasting

confidence: 68%

Section: Limitations Of the Studymentioning

confidence: 99%

See 1 more Smart Citation

Prevalence of lifestyle and cardiovascular risk factors in a group of medical students

Rimárová

Dorko

Jana

et al. 2018

Cent Eur J Public Health

View full text Add to dashboard Cite

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“…From different countries and races, mean boundary values for WHtR would be 0.50 for men and women [12], 0.50 in men and 0.52 in women [22], 0.54 in both [23], 0.58 for discriminating individuals with metabolic syndrome [24]. Standard range of WHtR would be from 0.41 to 0.52 for men and from 0.38 to 0.50 for women [25]. Use of a simple boundary value for WHtR (0.5) identifies more people at 'early health risk' than BMI and WC [26].…”

Section: Discussionmentioning

confidence: 99%

“…Firstly, several factors such as population, sample size, ethnicity, age, gender, smoking and physical activity status would be necessary for precise research. Secondly, basal biomarkers such as lipids, atherogenic index (AI) [25], creatinine, uric acid and other data would be desirable to be included. Thirdly, diabetic micro-and macro-angiopathy including cerebral vascular accident (CVA) [33], cardiovascular disease (CVD) and peripheral vascular disease (PVD) as well as hypertension [30] and hyperlipidemia would be investigated together with the anthropometric measurement [34][35][36].…”

Section: Discussionmentioning

confidence: 99%

Investigation for waist circumference (WC), waist-to-height ratio (WHtR) and thigh-to-waist ratio (TWaR) in type 2 diabetes mellitus (T2DM)

Bando¹,

Kato²,

Sakamoto³

et al. 2017

Integr Obesity Diabetes

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The purpose of this study was to investigate anthropometric factors for the patients with Type 2 Diabetes Mellitus (T2DM). Subjects were 80 T2DM patients with 67.7 ± 12.9 years old. Methods included basal blood test including HbA1c and measured height, body weight, waist circumference (WC) and thigh circumference (TC). Several factors were calculated and investigated the correlation among Body Mass Index (BMI), HbA1c. WC, TC, Waist to Height ratio (WHtR), Thigh to Height ratio (THtR) and Thigh to Waist ratio (TWaR). Results were as follows: 1) Average BMI was 25.1 kg/m 2 and average HbA1c was 7.2%, 2). There was significant correlation between WC and TC (p<0.01). 3) Significant correlations were revealed between BMI and WC, WHtR, THtR. 4)Similarly, between HbA1c and WC and WHtR. 5) Negative significant correlation was shown between HbA1c and TWaR with the Coefficient -0.25 and p=0.26. WC and TC might indicate central adiposity and muscle volume, respectively, suggesting that TWaR could become the fundamental data and the possible utilization of TWaR on the clinical research in the future.

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<p>Asymptomatic Hyperuricemia Associates with Cardiometabolic Risk Indicators in Overweight/Obese but Not in Lean Adolescents</p>

Šebeková¹,

Gurecká²,

Podracká³

2020

DMSO

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Purpose In overweight/obese adolescents, asymptomatic hyperuricemia is associated with increased prevalence of metabolic syndrome, its components, and a higher cardiometabolic risk. Whether similar associations exist in lean hyperuricemic adolescents is unknown. Subjects and Methods In 2424 adolescents (51.9% females) aged 16–19 years, anthropometric variables, blood pressure, uric acid, glucose, insulin, lipid profile, inflammatory markers, and renal function were determined. Continuous cardiometabolic score was calculated. Normouricemic vs hyperuricemic subjects were compared among lean and overweight/obese individuals of both sexes. Results Females (5.4%) and males (13.3%) presented with hyperuricemia; among them 63% of females and 53% of males were lean. In both sexes, hyperuricemic lean and hyperuricemic overweight/obese adolescents displayed similar uric acid concentrations (eg, males: 455±30 vs 461±32 µmol/L, respectively, p =0.933). Lean normouricemic adolescents manifested significantly lower uric acid levels than their overweight/obese peers (eg, males: 333±46 vs 357±41 µmol/L, respectively, p <0.001). Lean normouricemic and hyperuricemic subjects presented similar cardiometabolic score (eg, males: 2.60±0.67 vs 2.64±0.60, respectively, p =0.998); among overweight/obese adolescents those with hyperuricemia displayed higher scores compared with their normouricemic counterparts (eg, males: 3.36±1.04 vs 4.21±1.65, respectively, p <0.001). A decision-tree model revealed phenotypes associated with higher uricemia, however, distribution of individuals with hyperuricemia among phenotypes was random. Conclusion In lean adolescents, hyperuricemia is not associated with cardiometabolic profile indicating an increased risk. Existence of this rather prevalent phenotype remains undetected unless lean and overweight/obese subjects are analyzed separately. Longitudinal studies are needed to elucidate the potential clinical consequences of asymptomatic hyperuricemia in lean subjects in later life.

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Waist Circumference-to-Height Ratio Detected in a Convenient Sample of Young Slovak People with Increased Cardio-Metabolic Risk

Cited by 6 publications

References 37 publications

Prevalence of lifestyle and cardiovascular risk factors in a group of medical students

Prevalence of lifestyle and cardiovascular risk factors in a group of medical students

Investigation for waist circumference (WC), waist-to-height ratio (WHtR) and thigh-to-waist ratio (TWaR) in type 2 diabetes mellitus (T2DM)

<p>Asymptomatic Hyperuricemia Associates with Cardiometabolic Risk Indicators in Overweight/Obese but Not in Lean Adolescents</p>

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